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package sandcrawler
import scala.util.parsing.json.JSONObject
import cascading.flow.FlowDef
import cascading.tuple.Fields
import com.twitter.scalding._
import com.twitter.scalding.typed.TDsl._
import org.apache.hadoop.hbase.io.ImmutableBytesWritable
import org.apache.hadoop.hbase.util.Bytes
import parallelai.spyglass.hbase.HBaseConstants.SourceMode
import parallelai.spyglass.hbase.HBasePipeConversions
import parallelai.spyglass.hbase.HBaseSource
class GrobidScorable extends Scorable with HBasePipeConversions {
val StatusOK = 200
def getSource(args : Args) : Source = {
// TODO: Generalize args so there can be multiple grobid pipes in one job.
GrobidScorable.getHBaseSource(args("hbase-table"), args("zookeeper-hosts"))
}
def getFeaturesPipe(args : Args)(implicit mode : Mode, flowDef : FlowDef) : TypedPipe[MapFeatures] = {
getSource(args)
.read
// Can't just "fromBytesWritable" because we have multiple types?
.toTypedPipe[(ImmutableBytesWritable,ImmutableBytesWritable,ImmutableBytesWritable)](new Fields("key", "tei_json", "status_code"))
.filter { case (_, tei_json, status_code) => tei_json != null && status_code != null }
.map { case (key, tei_json, status_code) =>
(Bytes.toString(key.copyBytes()), Bytes.toString(tei_json.copyBytes()), Bytes.toLong(status_code.copyBytes()))
}
// TODO: Should I combine next two stages for efficiency?
.collect { case (key, json, StatusOK) => (key, json) }
.map { entry : (String, String) => GrobidScorable.jsonToMapFeatures(entry._1, entry._2) }
}
}
object GrobidScorable {
def getHBaseSource(table : String, host : String) : HBaseSource = {
HBaseBuilder.build(table, host, List("grobid0:tei_json", "grobid0:status_code"), SourceMode.SCAN_ALL)
}
def jsonToMapFeatures(key : String, json : String) : MapFeatures = {
Scorable.jsonToMap(json) match {
case None => MapFeatures(Scorable.NoSlug, json)
case Some(map) => {
if (map contains "title") {
new ScorableFeatures(Scorable.getString(map, "title"), sha1=key).toMapFeatures
} else {
MapFeatures(Scorable.NoSlug, json)
}
}
}
}
}
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